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Added 9 mins ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We're hiring a Staff Software Engineer to own architecture and design decisions for our platform, including the modernization of legacy enterprise systems into modern, cloud-capable…
Added 1 hour ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
The organization is investing heavily in AI, agentic technologies, cloud platforms, and enterprise-scale solution architecture capabilities to support strategic business priorities.
Added 1 hour ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer – AI, Data Engineering & MLOps
Added 2 hours ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Good years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Demonstrated experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering, with a proven track record of delivering…
Added 2 hours ago
ZS
Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
10+ years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Added 3 hours ago
LC
Senior Engineer, Application Security
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Application Security Engineer, you will serve as a foundational anchor on the AppSec team, leading our strategic shift hard-left toward developer-embedded security and Secure by…
Added 3 hours ago
PI
MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
We are the creators of iGUIDE, a powerful property technology solution that combines immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system.…
Added 3 hours ago
P
MLOps Engineer
Planitar
Waterloo, ON
- Full-time
We are the creators of iGUIDE, a powerful property technology solution that combines immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system.…
Added 4 hours ago
HS
Senior Software Engineer, Dentrix Ascend
Henry Schein One UK
Surrey, BC
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 7 hours ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s,…
Added 10 hours ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Develop client-facing architecture diagrams and solution designs
Added 10 hours ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Pursue Microsoft certifications (Azure Data Engineer, Solutions Architect)
Added 16 hours ago
WU
Technical Customer Support 2
West Unified Communications Services (formerly known as InterCall Asia Pacific)
Montreal, QC
- Full-time
…une refonte importante de nos applications afin d'offrir une solution de traitement des appels d'urgence basée sur le Web et le Cloud. La prochaine génération de 911 (NG911) est…
Added 17 hours ago
SO
Senior Software Engineer, Dentrix Ascend
Software of Excellence
Surrey, BC
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 18 hours ago
HS
Senior Software Engineer
Henry Schein One Canada
Surrey, BC
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 18 hours ago
M
Lead AI Solutions Engineer
McKesson
Mississauga, ON
- Full-time
The US Oncology Network is seeking a Lead AI Solutions Engineer (Forward Deployed Engineering) to drive the identification, design, prototyping, and validation of AI-enabled solutions that…
Added 18 hours ago
HS
Senior Java Software Engineer
Henry Schein One Canada
Surrey, BC
- $130,000 to $142,000 CAD / year
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 19 hours ago
A
Information Technology - Lead Analytics Engineer, Analytics Engineering Excellence
Aritzia
Vancouver, BC
- Full-time
The mission of the Enterprise Data & Analytics (D&A) Department is to democratize access to trusted Data Models and world-class Data & Analytics best practices to solution delivery teams.
Added 19 hours ago
IL
Technical Customer Support 2
Intrado Life & Safety, Inc.
Montreal, QC · Saint-Laurent, Quebec
- Full-time
…une refonte importante de nos applications afin d'offrir une solution de traitement des appels d'urgence basée sur le Web et le Cloud. La prochaine génération de 911 (NG911) est…
Added 19 hours ago
T
Senior AI Engineer (GCP/Vertex AI) Contract
TekRek
Canada
- Contract
The data platform runs on Databricks and Google Cloud. Several AI solutions are already live in production and have delivered measurable reductions in claims processing time.
Added 22 hours ago
EN
Senior Forward Deployed Engineer (10570) Toronto, Canada
Extreme Networks
Toronto, ON
- Full-time
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts…
Added 23 hours ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
…responsive support through our partnerships with SAP S/4Hana Cloud, SAP Business One, SAP Business ByDesign, Boomi, and Amazon Web Services to mid-market companies in a broad range of…
Added 1 day ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Google Cloud Professional Machine Learning Engineer

Nutanix

Software Engineer - AI/Inference /Gateway

Vancouver, BC, Canada

$103,000 to $155,000 CAD / year · Full-time

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Job details

Pay: $103,000 to $155,000 CAD / year
Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

Original job description

Hungry, Humble, Honest, with Heart.

The Opportunity

When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries from a position of deep learning. A GPT-in-a-box solution removes the burden of building or implementing these AI solutions yourself. It also makes overcoming the complexity, inefficiency, and security challenges of generative AI and AI/ML applications easy. Nutanix simplifies your learning curve on AI-ready infrastructure with Nutanix Cloud Platform for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack cloud platform helps you optimise IT costs with a software-defined cloud operating model. Harness AI-ready capabilities right out of the box, simplified to build, fine-tune, and run models, including GPTs and LLMs, while you continue to use existing teams and skills.

Join the Nutanix AI team, responsible for the magic behind the scenes.

About The Team

The Nutanix Enterprise AI team is responsible for strategic product areas including LLM Inference and the AI Gateway. We are at the forefront of Nutanix's mission to simplify AI deployment, recently showcasing our Agentic AI platform at NVIDIA GTC and NEXT 2026. This team is fast-paced, globally distributed, and focused on building the foundational layers of the AI stack.

You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model, offering a blend of in-office collaboration and remote work flexibility. As a new hire, you will be expected to be in the office for 3 days a week, ensuring that you have the opportunity to engage with your team and foster strong working relationships.

Your Role

Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.
Improve the performance of systems to deliver for low-latency and high-throughput use cases.
Optimize any part of the stack, including low-level systems.
Leverage and contribute to relevant open-source cloud native projects.
Develop scalable, efficient, and fault-tolerant observability architectures for collecting, analyzing, and reporting metrics for various platform services.
Collaborate closely with globally located product management and backend development teams to deliver high-quality products in a fast-paced environment.
Contribute to all stages of the product development cycle: technical design, development, test, experimentation, analysis, and launch.
Be a team player by reviewing code and design docs, giving feedback on product specs and mocks, and documentation.
Participate in an ongoing process definition and technology selection to ensure our technology stack is current with relevant trends.
Continuously learn and improve your technical and non-technical abilities.
What You Will Bring
2-5 years of experience developing maintainable, modular, resilient, fail-safe, and long-lasting code from a Product Development company.
Have strong programming fundamentals, data structure, and algorithms.
Strong experience in Docker, Kubernetes, and Cloud native technologies
Experience building applications with Go and Python
Experience building and managing CI/CD pipelines
Strong understanding of datacenter design, including computing, storage, and networking.
Familiarity with on-prem, cloud, and hybrid software deployment architectures
Good experience in designing and tuning high-performance system software
Strong understanding of distributed computing and storage architectures
Strong knowledge of OS internals, virtualization, application performance monitoring, compute storage, and networking management
Familiarity with machine learning concepts and popular frameworks (like TensorFlow, PyTorch, etc) is a strong plus
Experience with hardware accelerators, such as GPUs, is a strong plus.
Experience working with large codebases or contributing to open source is a strong plus.
Experience in building multi-tenant services on a virtualized infrastructure is a solid plus.
Detail-oriented with a strong focus on quality, design, and user experience.
Inquisitive and highly motivated self-starter and problem solver with a drive to integrate, communicate, and work well with large projects and teams.
Track record of being reliable, responsible, and thorough.
Bachelor's/Master's in Computer Science or equivalent work experience

Learn More About the Technology: https://www.nutanixbible.com/

#NAI

Highlighted Benefits (Vancouver, Canada)

Retirement: RRSP with dollar-for-dollar matching up to 7% of base salary

Mental Health: Dedicated mental health coverage plus top-tier paramedical benefits

Family: Fully paid maternity and parental leave and generous bereavement leave, including time for the loss of a pet

Equity: RSUs and Employee Stock Purchase Plan at a 15% discount

Time Off: Company holidays, sick days, company wellness days, and vacation starting at 10 days

Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Vancouver, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

Note: Nutanix does not assist with applications for work permits or permanent residence, including provincial nomination.

Pay Transparency - Role Location The pay range for this position at commencement of employment is expected to be between CAD $103,000 and CAD $155,000 per annual.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

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More about this job

Responsibilities

Design and develop scalable, fault-tolerant Kubernetes services, optimizing systems for low latency and high throughput while building observability capabilities. Contribute across the product development lifecycle, collaborate with globally distributed teams, and support quality through code and design reviews, testing, documentation, and technology selection.

Requirements

Requires 2–5 years of product development experience, strong programming fundamentals, and experience with Go or Python, Docker, Kubernetes, and CI/CD pipelines. Candidates should understand distributed systems, datacenter infrastructure, performance tuning, operating system internals, and virtualization; machine learning, GPU, and open-source experience are advantages, and a bachelor's or master's degree in computer science or equivalent experience is requested.

Skills

Kubernetes
Docker
Cloud-Native Technologies
Go
Python
CI/CD
Distributed Computing
Distributed Storage
High-Performance Systems
Observability
Datacenter Design
Operating System Internals
Virtualization
Machine Learning
TensorFlow
PyTorch

Benefits

RRSP With Dollar-for-Dollar Matching up to 7% of Base Salary
Mental Health Coverage
Paramedical Benefits
Paid Maternity and Parental Leave
Bereavement Leave
Restricted Stock Units
Employee Stock Purchase Plan With a 15% Discount
Company Holidays
Sick Days
Company Wellness Days
Vacation Starting at 10 Days

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
LLM Inference
AI Gateway
Kubernetes
Docker
Cloud-Native Technologies
Go
Python
CI/CD Pipelines
Distributed Computing
Distributed Storage
High-Performance Systems
Low Latency
High Throughput
Observability
Metrics
Datacenter Design
Compute
Storage
Networking
On-Premises Deployment
Cloud Deployment
Hybrid Deployment
Operating System Internals
Virtualization
Application Performance Monitoring
TensorFlow
PyTorch
GPUs

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